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Using the means-end framework as a theoretical foundation, this article conceptualizes, constructs, refines, and tests a multiple-item scale (E-S-QUAL) for measuring the service quality delivered by Web sites on which customers shop online. Two stages of empirical data collection revealed that two different scales were necessary for capturing electronic service quality. The basic E-S-QUAL scale developed in the research is a 22-item scale of four dimensions: efficiency, fulfillment, system availability, and privacy. The second scale, E-RecS-QUAL, is salient only to customers who had nonroutine encounters with the sites and contains 11 items in three dimensions: responsiveness, compensation, and contact. Both scales demonstrate good psychometric properties based on findings from a variety of reliability and validity tests and build on the research already conducted on the topic. Directions for further research on electronic service quality are offered. Managerial implications stemming from the empirical findings about E-S-QUAL are also discussed.

"This text is for students and business people who recognize the vital role that services play in the economy and its future. The advanced economies of the world are now dominated by services, and virtually all companies view service as critical to retaining their customers today and in the future. Manufacturing and product-dominant companies that, in the past, have depended on their physical products for their livelihood now recognize that service provides one of their few sustainable competitive advantages"--

The last three decades have witnessed a resurgence of research on the topic of customer value. In search of a comprehensive integration and analysis of this research—including conceptualization, operationalization, and measurement—we examined the myriad journal publications on the construct. We acknowledge that while some of the literature can be fully integrated, other parts are more difficult because they represent three different paradigms: positivist, interpretive, and social constructionist. We begin by briefly describing these three paradigms. Next, we detail the many studies representing the positivist paradigm, literature capturing customer value from just the customer's perspective and using deductive logic. We designate the second paradigm as interpretive, in that researchers are interested in understanding the subjective nature of customer value along with its emergence through inductive logic. The third paradigm, the social constructionist, frames customer value as emerging from value co-creation practices in complex ecosystems. Building upon the commonalities and differences among research studies stemming from the positivist, interpretive, and social constructionist paradigms, we propose how researchers can complement one another to move the customer value field forward.

Customer metrics are pivotal to assessing and monitoring how firms perform with customers and other publics. The authors contend that customer metrics used by firms today are predominantly rear-view mirrors reporting the past or dashboards reporting the present. They argue that companies need to and can develop "adaptive foresight" to be positioned to predict the future by exploiting changes in the business environment and anticipating customer behavior. They address the need for adaptive foresight by synthesizing and integrating literature on customer metrics, customer relationship management, customer asset management, and customer portfolio management. They begin by reviewing the metrics that have been and are currently being used to capture customer focus. Next, they discuss possible "headlight" or forward-looking customer metrics that would allow firms to anticipate changes and provide opportunities to increase the value of the customer base. They then identify the conditions under which the new metrics would be appropriate and offer a process for developing adaptive foresight. The authors close by discussing the implications of adaptive foresight for successful customer asset management that increases long-run business performance.